Patricia J. Markus

14 total papers · 418 total citations
8 papers, 343 citations indexed

About

Patricia J. Markus is a scholar working on Pharmacology, Infectious Diseases and Toxicology. According to data from OpenAlex, Patricia J. Markus has authored 8 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 5 papers in Infectious Diseases and 3 papers in Toxicology. Recurrent topics in Patricia J. Markus's work include Drug-Induced Adverse Reactions (8 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Patricia J. Markus is often cited by papers focused on Drug-Induced Adverse Reactions (8 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Patricia J. Markus collaborates with scholars based in United States. Patricia J. Markus's co-authors include James T.C. Li, Damir Matešić, Miguel A. Park, Miguel Park, Lynn L. Estes, Douglas R. Osmon, Arlen D. Hanssen, Gerald W. Volcheck, Bradly J. Narr and David R. Danielson and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Mayo Clinic Proceedings and International Archives of Allergy and Immunology.

In The Last Decade

Patricia J. Markus

8 papers receiving 334 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Patricia J. Markus 276 149 140 55 51 8 343
Christine Rukasin 204 0.7× 108 0.7× 84 0.6× 75 1.4× 36 0.7× 15 315
Jack Bourke 330 1.2× 140 0.9× 161 1.1× 43 0.8× 22 0.4× 11 402
Nasreen Khan 228 0.8× 164 1.1× 121 0.9× 23 0.4× 36 0.7× 10 400
M. Weiss 202 0.7× 89 0.6× 70 0.5× 29 0.5× 51 1.0× 7 404
Dorothy D. Sogn 238 0.9× 129 0.9× 137 1.0× 36 0.7× 16 0.3× 11 353
Misha Devchand 331 1.2× 143 1.0× 167 1.2× 41 0.7× 15 0.3× 16 377
Christine Lejtenyi 200 0.7× 108 0.7× 91 0.7× 23 0.4× 58 1.1× 9 340
Pramod S. Kelkar 163 0.6× 85 0.6× 81 0.6× 25 0.5× 29 0.6× 9 356
Ana Novalbos 247 0.9× 123 0.8× 133 0.9× 20 0.4× 10 0.2× 10 340
Fanny Silviu-Dan 280 1.0× 137 0.9× 112 0.8× 23 0.4× 25 0.5× 11 369

Countries citing papers authored by Patricia J. Markus

Since Specialization
Citations

This map shows the geographic impact of Patricia J. Markus's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patricia J. Markus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia J. Markus more than expected).

Fields of papers citing papers by Patricia J. Markus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia J. Markus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patricia J. Markus. The network helps show where Patricia J. Markus may publish in the future.

Co-authorship network of co-authors of Patricia J. Markus

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia J. Markus. A scholar is included among the top collaborators of Patricia J. Markus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia J. Markus. Patricia J. Markus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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